Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP170101306
Funding Status
Closed
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Funded Activity Summary
Efficient data mining methods for evidence-based decision making. This project aims to develop efficient data mining methods for causal predictions. Evidence-based decision making (EBD), such as evidence-based medicine and policy, is always preferable. To support EBD, causal predictions forecast how outcomes change when conditions are manipulated. Progress has been made in theoretical research on causal inference based on observational data, but few methods can automatically mine causal signals from the data and methods for efficient causal predictions based on data are even fewer. This project will apply its methods to biomedical problems. The outcomes could support smart and data-driven evidence based decision making in many areas, such as therapeutics and government policy making.Funded Activity Details
Start Date: 06-2017
End Date: 06-2021
Funding Scheme: Discovery Projects
Funding Amount: $381,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Bioinformatics Software | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing
